User Modeling and User-Adapted Interaction

Papers
(The median citation count of User Modeling and User-Adapted Interaction is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Sandra Carberry, in memoriam139
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario92
Learner models: design, components, structure, and modelling65
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks59
Recommending on graphs: a comprehensive review from a data perspective36
Generalisable sensor-free frustration detection in online learning environments using machine learning36
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems30
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises29
Deep adversarial group recommendation with user feature space separation25
Informative representations for forgetting-robust knowledge tracing24
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study20
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review19
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial18
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends18
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation17
Preface on the special issue on group recommender systems17
Preface to the special issue on personalization and adaptation in human–robot interactive communication16
User-centered personalized gamification: an umbrella review16
Intra-list similarity and human diversity perceptions of recommendations: the details matter15
Gaze-based predictive models of deep reading comprehension15
Generating predicate suggestions based on the space of plans: an example of planning with preferences15
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners14
Enhancing user awareness on inferences obtained from fitness trackers data14
A novel heterogeneous hypergraph social network recommendation system13
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems13
Digitally nudging users to explore off-profile recommendations: here be dragons11
Non-binary evaluation of next-basket food recommendation11
A bias detection tree approach for detecting disparities in a recommendation model’s errors11
A context-aware recommender system-based framework for improving cultural experiences11
Fair performance-based user recommendation in eCoaching systems10
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission10
Safe, effective and explainable drug recommendation based on medical data integration10
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders10
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation10
An overview of consensus models for group decision-making and group recommender systems9
One size does not fit all: detecting attention in children with autism using machine learning9
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback9
Improving selection diversity using hybrid graph-based news recommenders8
Enhancing a student productivity model for adaptive problem-solving assistance8
Exploring the impact of explainable AI and cognitive capabilities on users’ decisions8
Generating explanations for knowledge-aware conversational recommendation systems8
Personalized recommendations for learning activities in online environments: a modular rule-based approach8
Modeling the phases of rule learning during problem solving with an interactive learning environment7
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation7
A Bayesian framework for learning proactive robot behaviour in assistive tasks7
Improving session-based recommendation with contrastive learning7
Efficient incorporation of new interactions in graph recommenders via folding-in7
Personalized home-care support for the elderly: a field experience with a social robot at home7
Fairness in recommender systems: research landscape and future directions6
Use of topical and temporal profiles and their hybridisation for content-based recommendation6
Socially enhanced graph network for early identification of at-risk students in virtual learning environments6
Examining the merits of feature-specific similarity functions in the news domain using human judgments6
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm6
Cognitive personalization for online microtask labor platforms: A systematic literature review6
An automated system recommending background music to listen to while working6
A contrastive self-supervised learning method for source-free EEG emotion recognition6
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation6
SNRBERT: session-based news recommender using BERT6
Using latent variable models to make gaming-the-system detection robust to context variations5
Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems5
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums5
Preface to the special issue on news personalization and analytics5
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis5
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach5
Validating Motives of Autonomous Players (MAP) inventory: a bottom-up model of general motivational factors to videogame play5
0.021631956100464